AI predicts which patients may benefit from common antidepressant

Researchers have created a machine-learning algorithm called SELSER that analyzes EEG data to determine whether a patient is likely to respond well to the popular antidepressant called sertraline, according to the National Institute of Health. The algorithm works by looking for a particular neural signature involving complex brain activity patterns linked to positive outcomes from taking this medication. Clinical depression …